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This paper aims to examine how bank stress tests affect bank tax planning.

The study uses US bank stress test bank size thresholds and a regression discontinuity design to investigate the effect of the Dodd-Frank Act and the instituted bank stress tests on bank tax planning. We use different measures of tax planning, including bank-specific measures and measures of tax avoidance, tax aggressiveness, and effective tax planning from recent literature. Our regression discontinuity and difference-in-differences regression analyses include bank and year fixed-effects and lagged bank characteristics to control for potential endogeneity.

This study finds that stress tests have the unintended consequences of intensifying tax planning and increasing tax avoidance. Stress-test banks increase tax avoidance by accelerating charge-offs, net interest, and non-interest expenses. However, this increase in tax planning is not optimally maximized, leading to lower effective tax planning compared to non-stress-test banks. Banks with a substantial increase in tax avoidance under the Dodd–Frank Act tend to increase their risk, investing in high-risk-weight assets and lending in riskier loan categories. These findings are consistent with tax minimization conditions under added regulatory attention and policy uncertainty.

Literature on bank tax planning is limited. Most tax avoidance literature excludes financial institutions such as bank holding companies mainly due to differences in business practices and regulatory frameworks. This study is the first to investigate tax planning behavior among US banks. The current study thus extends the research field by examining the effect of bank transparency regulations, such as bank stress tests, on bank tax planning activities. Our findings have a direct bank policy implication. They show that stress testing has the unintended consequences of increasing tax planning activities and consequently increasing risk-taking on banks with high tax avoidance, which goes against the goals of stress testing regulations.

This paper aims to reconcile conflicting findings about the role of corporate social responsibility (CSR) in counteracting the negative impacts of brands’ ethical transgressions by testing the moderating role of self-brand connection (SBC).

Drawing on motivated reasoning theory, this paper posits that high- and low-SBC consumers’ information processing and moral judgment are driven by distinct goals: to reach desired versus accurate conclusions, respectively. Five experiments were conducted to test whether CSR efforts can mitigate the impact of blatant ethical transgressions.

CSR allows high-SBC consumers to evaluate brand transgressions more favorably, as CSR serves as counterfactual evidence that reinforces their beliefs in the brand’s morality. In contrast, low-SBC consumers view CSR as hypocritical, leading to more negative responses. Increased perceptions of brand morality (hypocrisy) mediate CSR’s buffering (backfiring) effects among high- (low-) SBC consumers.

This paper does not control for the effect of the time gap between CSR and ethical transgressions even if buffering effects of CSR could be faded out as memories recede.

Brand transgressions may be inevitable events, but firms or managers can alleviate the negative impact of transgressions by engaging in CSR activities. In doing so, they need to make clear to whom they will appeal using CSR information considering its backfiring effects among low-SBC consumers.

Few studies have examined when and how CSR attenuates or exacerbates the negativity of brand transgressions with a strong theoretical framework. This paper, grounded in motivated reasoning theory, explains how the same CSR initiative can yield opposing outcomes based on the consumer’s self-brand connection. Rather than solely exploring how strong consumer-brand relationships buffer brand transgressions, this research shows how high-SBC consumers biasedly seize CSR information to justify brand transgressions, even when they are blatant.

This paper aims to study the impact of consumers’ corporate social responsibility (CSR) associations on corporate financial performance and the moderating role of market competition.

The panel data set is analyzed using a random effects regression model. The analyzed data is based on the unique RepZ Responsibility scores published by the global research agency Kantar Millward Brown and contains information about consumer CSR associations.

This study reveals CSR associations' positive, lagged, direct impact on firms’ market value. Market competition moderates this relationship in the way that a company’s market value benefits more from consumers' CSR associations when facing high rather than low market competition.

Consumers' CSR perceptions increase the market value of a company. This effect is intensified when brands are exposed to intense competition, which allows conclusions about CSR as a differentiation strategy to be drawn: To stand out in a competitive market, brands should prioritize improving their CSR associations among consumers to differentiate themselves and increase their market value.

To the best of the authors’ knowledge, this study is the first to test the effect of consumers’ CSR associations on forward-looking financial performance measures. Moreover, by analyzing the moderating effect of market competition on the relationship between CSR associations and firms' market value, this study provides information about the differentiating power of CSR from a brand perspective using a panel-data analysis.

Integrating the psychological threat perspective of voice with cognitive dissonance theory, the current research seeks to uncover how managers’ experience of shame shapes the extent to which they are threatened by and subsequently react defensively to voice(r).

A two (employee voice: voice condition vs no-voice condition) by two (manager shame: shame vs control) between-subjects experiment with 263 participants (i.e. front-line managers from mainland China) was conducted to test the hypotheses.

Employee voice (vs no voice) induced a higher ego threat among managers experiencing a higher than lower level of shame. The heightened ego threat, in turn, negatively affected the perceived warmth of the employee via perceived behavioral appropriateness. In a similar vein, it affected the perceived competence of the employee via perceived behavioral constructiveness.

Organizations and managers should be aware of the potential unfavorable effects of managers’ emotional state of shame on voice(r) evaluations and take action to improve managers’ emotional regulation skills. Employees should work on their emotional intelligence, which helps them better “read the wind” before speaking up.

The present work advances the understanding of managerial defensive reactions to employee voice by demonstrating that shamed managers are more likely to cognitively denigrate the voice and the voicer as an approach to defend their threatened ego.

Purpose: This study examines the integration of smart agriculture and supply chain management systems within Turkey’s agricultural sector under Industry 5.0.

Need for the study: With global challenges like the COVID-19 pandemic and climate change, ensuring safe food production and accessibility is critical. However, there is a gap in understanding the readiness and awareness of Industry 5.0 technologies in agriculture and logistics. This study aims to fill this gap by investigating the adoption and implications of smart agriculture and logistics in Turkey.

Methodology: Drawing on secondary data from regulators, farmers, and supply chain experts, this study employs coding methods, particularly theoretical coding, to develop a framework for assessing the sector’s readiness for smart technologies and Industry 5.0 awareness.

Findings: This study reveals insights into the adoption and impacts of smart agriculture and supply chain systems in Turkey. It identifies factors shaping institutional logics within the sector and explores how Industry 5.0 technologies influence these logics. Additionally, it offers theoretical insights into Turkey’s agricultural future in the Industry 5.0 era.

Practical implications: Practically, this study informs policymakers, regulators, farmers, and supply chain stakeholders about Industry 5.0 technology readiness and awareness in Turkey’s agricultural sector. It guides strategies for smart technology adoption, improving productivity, food safety, accessibility, and sustainability. Furthermore, it contributes to institutional logics literature, shedding light on the independent logics driving organizational settings in smart agriculture and supply chain management.

Ultra-processed food products are omnipresent in our homes and in grocery stores, and everybody consumes these food products once in a while. In this context, the present study aims to analyse what factors influence the consumption behaviour of ultra-processed food products and, more precisely, what factors drive consumer satisfaction and purchase intention of these food products in one specific market – Spain-.

A model of consumer behaviour of ultra-processed food products is proposed and analysed through structural equation modelling on a sample of 608 consumers.

Findings indicate that the effortlessness of ultra-processed food products, as well as their affordability, are the factors that exert the higher influence on consumer satisfaction and purchase intention of ultra-processed food products. On the other hand, the product quality and the ability to save time show a negative influence on both consumer satisfaction and intention to purchase. Contrary to the initial expectations, product convenience and the hedonistic nature of ultra-processed food products do not influence consumer behaviour.

Food policymakers and public health interventions may consider possible actions to reduce the consumption of ultra-processed food products, the reduction of their affordability through taxation or the compulsory inclusion of nutritional warnings in the front of the package to confront marketing actions developed by food companies.

This study examines the factors that drive the purchase and consumption of ultra-processed food products in one European mature market: Spain.

The library catalog is not only a useful tool for patrons to find and access library collections but also a valuable dataset for various types of quantitative analysis on our cultural assets. This research aims to develop the latter potential of library metadata by conducting a large-scale analysis of how the metadata fields encoded in the Machine-Readable Cataloging (MARC) standards.

We examined more than 6 million book records from 1980 to 2018 in the catalog of the Library of Congress. We particularly focused on how bibliographic records have changed over time and whether these changes correlate with the introduction of new cataloging policies.

Our results show that more than 200 unique fields and 1,300 unique subfields have been used in the MARC format, though the majority of them are used in fewer than 1% of all records. At the same time, bibliographic records have become increasingly complex, with more fields and subfields per record over the past 40 years. Additionally, there are clear, although sometimes asynchronous, parallel developments between MARC tags and cataloging standards.

This study represents the first large-scale quantitative analysis of the history of library metadata, revealing significant and interesting changes over time and highlighting challenges for the meaningful use of library metadata in the current data environment.

India's Muslim women (MW) face significant underrepresentation within the government and commercial sectors, rendering them virtually invisible in the job market. This underrepresentation is compounded by the double stigma of being both Muslim and female. As a result, this study aims to address this critical issue by looking into MW's intention to work in the industry of tourism and hospitality (T&H).

A survey was conducted online to gather data and 404 of the responses met the requirements for selection. The research model was empirically assessed by applying structural equation modelling. The data collection phase spanned from August 11, 2023, to November 10, 2023.

The study's findings demonstrate the effectiveness of the extended theory of planned behaviour in providing a robust model for analysing MW's intentions to participate in the T&H industry.

This research discloses inclusive policies, reduces discrimination, empowers women in the workforce, improves educational opportunities, promotes cultural sensitivity and fosters inclusive leadership in the T&H industry, focusing on MW career intentions, to achieve Sustainable Development Goal 5 (gender equality).

The importance of this study is contingent upon its ability to inform policymakers in academia and the T&H sector. By recognising and addressing the barriers faced by MW, it has the potential to foster a workplace environment that promotes equality and eliminates discrimination, ultimately improving the image of the T&H industry and harnessing the untapped potential of these women in India.

This paper aims to explore sociocultural factors as determinants of entrepreneurial emergence and to examine their relative influence (i.e. the influence of each factor) on entrepreneurial emergence.

A survey design with a questionnaire instrument administered to 250 business owners selected randomly from a cross section of businesses was used. The data were analyzed using the descriptive method, pairwise comparison, Kendall’s W test and Mean Rank Statistics.

This study showed that the level of influence of sociocultural factors on the decision to own a business by an individual in Africa varies by factor. Family background is the factor that has the highest influence, whereas religious values has the least influence. Altogether, nine most significant factors influence the choice of business ownership in Nigeria and in Africa generally. These include family background, unemployment, family values, inadequate income, job displacement, stock of social capital, role models, social networks and lack of social security, in that order.

Although some scholars may have explored sociocultural factors as determinants of entrepreneurial emergence, there is no study on their relative influence on entrepreneurial emergence, at least not in the context of Africa or Nigeria in particular. This study extends previous studies by examining the relative influence of the factors, using Nigeria as a reference for Africa. A focus on their relative influence is a new perspective on the study of sociocultural factors as determinants of entrepreneurial emergence.

Online games are highly popular Internet applications. Some games enable players to save game progress and accumulate experiences or changes to avatars during gameplay, whereas some other games do not, requiring players to restart from the beginning each time. That is, games differ in avatar accumulability. However, we do not know whether games should be designed to permit avatar accumulability or not and how it affects players’ gameplay experience and therefore game outcomes, indicating gaps. Research addressing these gaps can inform game makers in designing games that effectively strengthen their players’ game loyalty.

We used social identity theory (SIT) to construct a theoretical model. To test this model, three waves of survey data were gathered from the same 778 participants.

These findings uniquely indicate that avatar accumulability fosters avatar identification and increases players’ focused immersion, thus increasing players’ loyalty.

Game providers could include game features that enable players to accumulate their avatars’ in-game skins, levels, items (weapons and equipment) and experience points. This accumulability can help strengthen players’ game loyalty.

Overall, our study extends SIT by adding a new trigger (avatar accumulability) and two novel consequences of avatar identification (image protection and focused immersion) in avatar-related systems (games or gamified systems). The new trigger offers an actionable means to apply SIT, while the novel consequences verify the value of applying SIT to study online games.